Accelerating active learning with transfer learning

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2013, Pages 1085-1090

  Kale, David ^a   Liu, Yan ^a  

^a University of Southern California   (United States)

Author keywords

Active Learning; Learning Theory; Machine Learning; Transfer Learning

Indexed keywords

EID: 84894662653     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2013.160     Document Type: Conference Paper

References (16)

1. B. Settles, Active Learning, ser. Synthesis Lectures on Artificial Intelligence and Machine Learning Series. Morgan & Claypool Publishers, Jun. 2012, vol. 6, no. 1.
2. A. Beygelzimer, J. Langford, D. Hsu, and Z. Tong, "Agnostic Active Learning Without Constraints," in Advances in Neural Information Processing Systems 23, 2011, pp. 199-207.
3. S. Dasgupta, "Two Faces of Active Learning," Theoretical Computer Science, vol. 412, no. 19, pp. 1767-1781, 2011.
4. X. Zhu, J. Lafferty, and Z. Ghahramani, "Combining Active Learning and Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions," in ICML 2003 Workshop on The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, 2003, pp. 58-65.
5. S. Thrun, "Is Learning the Nth Thing Any Easier Than Learning The First?" in Advances in Neural Information Processing Systems 8, 1996, pp. 640-646.
6. J. Blitzer, M. Dredze, and F. Pereira, "Biographies, Bollywood, Boomboxes and Blenders: Domain Adaptation for Sentiment Classification," in Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, 2007.
7. L. Yang, S. Hanneke, and J. Carbonell, "Two Faces of Active Learning," Machine Learning, vol. 90, no. 2, pp. 1-28, 2012.
8. J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J. Wortman, "Learning Bounds for Domain Adaptation," in Advances in Neural Information Processing Systems 21, 2008, pp. 1-12.
9. Y. S. Chan and H. T. Ng, "Domain Adaptation with Active Learning for Word Sense Disambiguation," in Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, 2007.
10. X. Shi, W. Fan, and J. Ren, "Actively Transfer Domain Knowledge," in Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases, 2008, pp. 342-357.
11. A. Saha, P. Rai, H. Daumé, S. Venkatasubramanian, and S. L. DuVall, "Active Supervised Domain Adaptation," in Proceedings of the 2011 European Conference on Machine Learning and Knowledge Discovery in Databases, 2011, pp. 97-112.
12. R. Chattopadhyay, S. M. Ave, W. Fan, and I. Davidson, "Joint Transfer and Batch-mode Active Learning," in Proceedings of the 30th Annual International Conference on Machine Learning, 2013.
13. D. Kifer, S. Ben-David, and J. Gehrke, "Detecting Change in Data Streams," in Proceedings of the 30th international Conference on Very Large Databases, 2004, pp. 180-191.
14. S. Ben-David, J. Blitzer, K. Crammer, and O. Pereira, "Analysis of Representations for Domain Adaptation," in Advances in Neural Information Processing Systems 19, 2007, pp. 137-144.
15. Y. Yang and J. O. Pedersen, "A Comparative Study on Feature Selection in Text Categorization," in Proceedings of the 14th International Conference on Machine Learning, 1997, pp. 412-420.
16. M. T. Bahadori, Y. Liu, and D. Zhang, "Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning," in Proceedings of the 11th IEEE International Conference on Data Mining, 2011, pp. 61-70.